Yuchao Gu

According to our database, Yuchao Gu authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DragAnything: Motion Control for Anything using Entity Representation.

Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Di Zhang

CoRR, 2024

Towards A Better Metric for Text-to-Video Generation.

Jay Zhangjie Wu, Guian Fang, Haoning Wu, Xintao Wang, Yixiao Ge, Xiaodong Cun, David Junhao Zhang, Jia-Wei Liu, Yuchao Gu, Rui Zhao, Weisi Lin, Wynne Hsu, Ying Shan, Mike Zheng Shou

CoRR, 2024

2023

MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers.

Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, Yuchao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie

CoRR, 2023

MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance.

Qi Mao, Lan Chen, Yuchao Gu, Zhen Fang, Mike Zheng Shou

CoRR, 2023

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence.

Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang

CoRR, 2023

DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing.

Jiawei Liu, Yan-Pei Cao, Jay Zhangjie Wu, Weijia Mao, Yuchao Gu, Rui Zhao, Jussi Keppo, Ying Shan, Mike Zheng Shou

CoRR, 2023

MotionDirector: Motion Customization of Text-to-Video Diffusion Models.

Rui Zhao, Yuchao Gu, Jay Zhangjie Wu, David Junhao Zhang, Jiawei Liu, Weijia Wu, Jussi Keppo, Mike Zheng Shou

CoRR, 2023

Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

David Junhao Zhang, Jay Zhangjie Wu, Jia-Wei Liu, Rui Zhao, Lingmin Ran, Yuchao Gu, Difei Gao, Mike Zheng Shou

CoRR, 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models.

Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

CoRR, 2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

CoRR, 2023

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models.

Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation.

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MobileSal: Extremely Efficient RGB-D Salient Object Detection.

Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation.

Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou

CoRR, 2022

Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis.

Yuchao Gu, Xintao Wang, Yixiao Ge, Ying Shan, Xiaohu Qie, Mike Zheng Shou

CoRR, 2022

VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder.

Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Lightweight Salient Object Detection via Hierarchical Visual Perception Learning.

Yun Liu, Yuchao Gu, Xin-Yu Zhang, Weiwei Wang, Ming-Ming Cheng

IEEE Trans. Cybern., 2021

iNAS: Integral NAS for Device-Aware Salient Object Detection.

Yuchao Gu, Shang-Hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.

Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search.

Yuchao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng

CoRR, 2020

Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow.

Yuchao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng

CoRR, 2020

Pyramid Constrained Self-Attention Network for Fast Video Salient Object Detection.

Yuchao Gu, Lijuan Wang, Ziqin Wang, Yun Liu, Ming-Ming Cheng, Shao-Ping Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020